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Challenge
The Complexity of Medical Diagnosis and
the Disparity in National Healthcare
Siriraj Success Story
Transform Medical Profession into the New Future with Object Detection for Cancer Diagnosis
Challenge
The Complexity of Medical Diagnosis and the Disparity in National Healthcare
At the present, manual detection of cancer cells in medical diagnosis requires massive man hours and specialists to find a result, since in each case, it must be proceeded in cell counting and identifying stage more than a hundred of times in order to calculate the cancer risk precisely. Due to the complexity of medical diagnosis, cancer treatment is much slower and less effective than it should be.
Furthermore, disparity in national healthcare is also a significant barrier to Thailand’s medical diagnosis development, especially in terms of cancer. The fact that most specialist physicians live densely in the capital or big cities causes a lot of hospitals in the countryside to face physician shortages. As a result, most patients are not able to access health services and eventually sent to more functional hospitals in town. Therefore, this becomes a serious issue that must be solved urgently.
Solution
Identifying Cancer Cell through Object Detection
Dr. Piyalitt Ittichaiwong, Data scientist
Siriraj Informatics and Data Innovation Center, Siriraj hospital
With the objective to transform the medical profession into the future, Dr. Piyalitt Ittichaiwong decided to apply object detection technology in medical diagnosis through Accurately, end-to-end computer vision platform, solving the medical needs effectively.
Since medical diagnosis requires massive man hours and specialists to count and identify cancer cells, it has drastically changed into object detection with data labeling methods, facilitating physicians to organize datasets for machine learning and apply them to medical diagnosis more precisely and efficiently than before. In addition, with Auto Suggestion feature from Accurately, medical imaging datas can be automatically predicted, speeding up workflow for patient’s life.
In aspects of disparity in national healthcare, object detection technology encourages a lot of hospitals who face physician shortages in the countryside to apply detection results to medical diagnosis and treatment in the next step more comfortably. Eventually, healthcare will be more accessible to broader nationwide patients and disparity will be completely resolved.
Moreover, with its data storage on cloud and collaborative labeling tools such as data labeling quality assurance system and user access management & permission, Accurately is able to support the detection process of cancer cells to be proceeded more systematically, track working progress in each different assignment and reduce overlapping duties within medical teamwork.
Compared to the detection process without Accurately, datasets were usually stored in Github where the medical team had to individually download data to label on their devices, and then uploaded labeled data on the same platform again. These processes might cause human errors from unorganized file names and data labeling quality assurance. Resulted in over 1-month time spent to complete the cancer cell labeling process.
Due to its efficient data labeling system, Accurately can assist physicians to apply object detection models to medical diagnosis much faster and is expected to increase success rates for cancer treatment statistics in Thailand significantly.
Future
When Medical Technology Moves forward to the Data-Centric Era
Object Detection Model will be
The New Future of Thailand’s Medical Profession.
Since AI has significantly played an important role in ways of life, the AI Model has become an important factor for medical technology development in the data-centric era when everything is all about data.
However, how effective AI technology is utilized in medical use depends on the platform and tools for development. Because if we don’t have an appropriate platform for creating AI models , medical technology won’t be developed and utilized in broader society as it should be.
Therefore, Accurately has continuously dedicated itself to develop Object Detection technology and our computer vision platform for detection of cancer cells in every step from labeling datasets, AI model training until deployment in medical use. We hope that Accurately will be a part of national medical diagnosis development to be more effective and accessible for everyone with equality and become the new future of Thailand’s medical profession.
“ When medical technology moves forward to the data-centric era, high-quality datasets for machine learning become an important part for medical technology development. Then if we have an appropriate platform with powerful tools, the technology will be certainly more developed and utilized in Thailand’s medical profession in the near future ”
Dr. Piyalitt Ittichaiwong, Data scientist
Siriraj Informatics and Data Innovation Center, Siriraj hospital
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